The paper examines how various COVID-19 news sentiments differentially impact the behaviour of cryptocurrency returns. We used a nonlinear technique of transfer entropy to investigate the relationship between the top 30 cryptocurrencies by market capitalisation and COVID-19 news sentiment. Results show that COVID-19 news sentiment influences cryptocurrency returns. The nexus is unidirectional from news sentiment to cryptocurrency returns, in contrast to past findings. These results have practical implications for policymakers and market participants in understanding cryptocurrency market dynamics under extremely stressful market condition
This paper introduces new methods for analysing the extreme and erratic behaviour of time series to ...
We try to establish the commonalities and leadership in the cryptocurrency markets by examining the ...
This paper features an analysis of cryptocurrencies and the impact of the COVID-19 pandemic on their...
Abstract This paper explores the asymmetric effect of COVID-19 pandemic news, as measured by the cor...
This paper investigates the relationship between the COVID-19 crisis and the two leading cryptocurre...
Cryptocurrencies are relatively new and innovative financial assets. They are a topic of interest to...
This paper investigates the relationship between the COVID-19 crisis and the two leading cryptocurre...
This paper aims to empirically examine the effect of Coronavirus disease 2019 (COVID-19) pandemic on...
This paper studies the dynamic network connectedness between cryptocurrency returns and sentiments u...
This paper investigates the time-varying co-movements in cryptocurrency market, employing a Dynamic ...
In this paper, we investigate the relationship between the RavenPack news-based index associated wit...
Controlling for the polarity and subjectivity of social media data based on the development of the ...
We investigate any similarity and dependence based on the full distributions of cryptocurrency asset...
Literature suggests assets become more correlated during economic downturns. The current COVID-19 cr...
In this study, it was investigated whether the Covid-19 pandemic, which started to affect the world ...
This paper introduces new methods for analysing the extreme and erratic behaviour of time series to ...
We try to establish the commonalities and leadership in the cryptocurrency markets by examining the ...
This paper features an analysis of cryptocurrencies and the impact of the COVID-19 pandemic on their...
Abstract This paper explores the asymmetric effect of COVID-19 pandemic news, as measured by the cor...
This paper investigates the relationship between the COVID-19 crisis and the two leading cryptocurre...
Cryptocurrencies are relatively new and innovative financial assets. They are a topic of interest to...
This paper investigates the relationship between the COVID-19 crisis and the two leading cryptocurre...
This paper aims to empirically examine the effect of Coronavirus disease 2019 (COVID-19) pandemic on...
This paper studies the dynamic network connectedness between cryptocurrency returns and sentiments u...
This paper investigates the time-varying co-movements in cryptocurrency market, employing a Dynamic ...
In this paper, we investigate the relationship between the RavenPack news-based index associated wit...
Controlling for the polarity and subjectivity of social media data based on the development of the ...
We investigate any similarity and dependence based on the full distributions of cryptocurrency asset...
Literature suggests assets become more correlated during economic downturns. The current COVID-19 cr...
In this study, it was investigated whether the Covid-19 pandemic, which started to affect the world ...
This paper introduces new methods for analysing the extreme and erratic behaviour of time series to ...
We try to establish the commonalities and leadership in the cryptocurrency markets by examining the ...
This paper features an analysis of cryptocurrencies and the impact of the COVID-19 pandemic on their...